Now that you've got a good sense of how to "speak" R, let's use it with linear regression to make distinctive predictions. The R system has three components: a scripting language, an interactive ...

In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, ...

R is a free computing and graphical software/environment for statistical analysis. Part III of this short course consists of 3 sections: Section 5 introduces the concept of generalized linear models.

We consider a linear model with normally distributed but heteroscedastic errors. When the error variances are functionally related to the regression parameter, one ...

This course is available on the BSc in Actuarial Science, BSc in Data Science, BSc in Financial Mathematics and Statistics, BSc in Mathematics with Economics and BSc in Mathematics, Statistics and ...

Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 66, No. 4 (2004), pp. 893-908 (16 pages) Generalized linear latent variable models (GLLVMs), as defined by ...